Hydrographic parameters and distribution of dissolved Cu, Ni, Zn and nutrients near Jeddah desalination plant

Fallatah, Mohammad M.; Kavil, Yasar N.; Ibrahim, A. E.; Orif, Mohamed I.; Shaban, Yasser A.; Farawati, Radwan Al

doi:10.1515/chem-2018-0029

Cited by 11 publications

(5 citation statements)

References 44 publications

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“…This is lower than those mentioned in other areas of the Red Sea, where the high levels of salinity were in the range from 40.02 ± 0.11 to 42.32 ± 0.10% at the Northern Red Sea coast [60,61]. The salinity in the study area is relatively higher than the Arabian Sea (35.0-36.5‰) and Gulf of Aden [62] and fell within the range reported by Fallatah et al, [63]. Hydrogen ion concentration is one of the most important parameters that affect the ecosystem in aquatic environment and one of the most significant ionic constituents of natural seawater [64].…”

Section: Seawater Characteristicssupporting

confidence: 71%

Assessment of heavy metal contamination in water, sediments, and Mangrove plant of Al-Budhai region, Red Sea Coast, Kingdom of Saudi Arabia

Al-Mur

2021

Journal of Taibah University for Science

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This study investigates the hydrographic parameters and contamination status of zinc (Zn), iron (Fe), copper (Cu), manganese (Mn), lead (Pb), cadmium (Cd), vanadium (V), and nickel (Ni), etc. in surface water, surficial sediments, and mangrove tree tissues (Avicennia marina). Samples were collected from nine sites in Al-Budhai area of Red Sea coast of Jeddah. The trend values of metal contamination factor were Ni (3.23) > Cd (2.99) > Pb (2.86) > Zn (2.69). Translocation factor (TF) of the metals showed Avicennia marina tissues have a dominant role in the phytoremediation process through toxic metal uptake.

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Section: Seawater Characteristicssupporting

confidence: 71%

Assessment of heavy metal contamination in water, sediments, and Mangrove plant of Al-Budhai region, Red Sea Coast, Kingdom of Saudi Arabia

Al-Mur

2021

Journal of Taibah University for Science

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“…Differences in temperature and salinity values at Al Shuqaiq and Al Lith can be attributed to water discharges linked to desalination plant and aquaculture activities, respectively. In general, the brine discharge at discharging plume in the Red Sea is getting diluted within 10-20 m (Raventós et al, 2006;Fallatah et al, 2018). However, the accurate detection of the plume dispersion area would require a dedicated, denser grid of stations, which was beyond the implementation of this survey.…”

Section: Physical Parametersmentioning

confidence: 99%

“…Those studies that have been directed at the quality of the Saudi Arabian marine environment have largely been locally focused, e.g., on the marine area near Jeddah and the Jeddah lagoons. A number of studies have focused on trace metals (Al Farawati et al, 2011;Youssef, 2015;Brima and AlBishri, 2017;Al Mur et al, 2017;Ali et al, 2017;Fallatah et al, 2018;Al Mur 2020;Mannaa et al, 2021;Halawani et al, 2022;El Zokm et al, 2022) and/or organic pollutants (PAHs, polycyclic aromatic hydrocarbons) (El Maradny et al, 2023). Very few studies, also related mainly to metals and organic contaminants, are limited to local marine environments such as Al Lith (Abu-Zied and Hariri, 2016;Bantan et al, 2020), Yanbu (El Sorogy et al, 2023, and Jizan (Kahal et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

The physical and biogeochemical parameters along the coastal waters of Saudi Arabia during field surveys in summer, 2021

Abualnaja,

Pavlidou,

Churchill

et al. 2024

Earth Syst. Sci. Data

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Abstract. During the last decades, the coastal areas of the Kingdom of Saudi Arabia, on the Red Sea and the Arabian Gulf, have been subjected to intense economic and industrial growth. As a result, it may be expected that the overall environmental status of Saudi Arabian coastal marine waters has been affected by human activities. As a consequence, adequate management of the Saudi Arabian coastal zone requires an assessment of how the various pressures within this zone impact the quality of seawater and sediments. To this end, environmental surveys were conducted over 15 hotspot areas (areas subject to environmental pressures) in the Saudi Arabian coastal zone of the Red Sea and over three hotspot areas in the Saudi Arabian waters of the Arabian Gulf. The survey in the Red Sea, conducted in June/July 2021, acquired measurements from hotspot areas spanning most of the Saudi coastline, extending from near the Saudi–Jordanian border in the north to Al Shuqaiq and Jizan Economic City (close to the Saudi–Yemen border) in the south. The survey in the Arabian Gulf, carried out in September 2021, included the areas of Al Khobar, Dammam and Ras Al Khair. The main objective of both cruises was to record the physical and biogeochemical parameters along the coastal waters of the kingdom, tracing the dispersion of contaminants related to specific pressures. Taken together, these cruises constitute the first multidisciplinary and geographically comprehensive study of contaminants within the Saudi Arabian coastal waters and sediments. The measurements acquired revealed the influence of various anthropogenic pressures on the coastal marine environment of Saudi Arabia and also highlighted a strong influence of hydrographic conditions on the distribution of biochemical properties in the Red Sea and the Arabian Gulf. The data can be accessed at SEANOE https://doi.org/10.17882/96463 (Abualnaja et al., 2023), whereas the details of the sampling stations are available at https://mcep.kaust.edu.sa/cruise-postings (last access: 25 March 2024). The dataset includes the parameters shown in Tables 1a, b and 2a.

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“…We use the Jaccard similarity coefficient to measure the similarity of focal elements and the Hausdorff distance to measure the distance between interval numbers. The proposed interval distance can measure both the crisp and the interval-valued belief structures (Fallatah et al 2018;Huh et al 2018;Kaushik & Chatterjee 2018;Li et al 2018;Yang et al 2018).…”

Section: Introductionmentioning

confidence: 99%

A Distance Measure of Interval-valued Belief Structures

Cao¹,

Zhang²,

Feng³

2019

JSM

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Interval-valued belief structures are generalized from belief function theory, in terms of basic belief assignments from crisp to interval numbers. The distance measure has long been an essential tool in belief function theory, such as conflict evidence combinations, clustering analysis, belief function and approximation. Researchers have paid much attention and proposed many kinds of distance measures. However, few works have addressed distance measures of interval-valued belief structures up. In this paper, we propose a method to measure the distance of interval belief functions. The method is based on an interval-valued one-dimensional Hausdorff distance and Jaccard similarity coefficient. We show and prove its properties of non-negativity, non-degeneracy, symmetry and triangle inequality. Numerical examples illustrate the validity of the proposed distance.

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Hydrographic parameters and distribution of dissolved Cu, Ni, Zn and nutrients near Jeddah desalination plant

Cited by 11 publications

References 44 publications

Assessment of heavy metal contamination in water, sediments, and Mangrove plant of Al-Budhai region, Red Sea Coast, Kingdom of Saudi Arabia

Assessment of heavy metal contamination in water, sediments, and Mangrove plant of Al-Budhai region, Red Sea Coast, Kingdom of Saudi Arabia

The physical and biogeochemical parameters along the coastal waters of Saudi Arabia during field surveys in summer, 2021

A Distance Measure of Interval-valued Belief Structures

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